JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
An adaptive lapped biorthogonal transform and its application in orientation adaptive image coding
Signal Processing - Image and Video Coding beyond Standards
Removing blocking effects using an artificial neural network
Signal Processing - Signal processing in UWB communications
Optimal noise reduction in oversampled PR filter banks
IEEE Transactions on Signal Processing
Design of directional filter banks with arbitrary number of subbands
IEEE Transactions on Signal Processing
Bound ratio minimization of filter bank frames
IEEE Transactions on Signal Processing
Directional lapped transforms for image coding
IEEE Transactions on Image Processing
Time-domain oversampled lapped transforms: theory, structure, and application in image coding
IEEE Transactions on Signal Processing - Part I
Frame-Theory-Based Analysis and Design of Oversampled Filter Banks: Direct Computational Method
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The GenLOT: generalized linear-phase lapped orthogonal transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Frame-theoretic analysis of oversampled filter banks
IEEE Transactions on Signal Processing
Lapped transform via time-domain pre- and post-filtering
IEEE Transactions on Signal Processing
Efficient Computation of Frame Bounds Using LMI-Based Optimization
IEEE Transactions on Signal Processing - Part I
Wiener Filter-Based Error Resilient Time-Domain Lapped Transform
IEEE Transactions on Image Processing
Nonuniform Directional Filter Banks With Arbitrary Frequency Partitioning
IEEE Transactions on Image Processing
Two-dimensional separable filters for optimal reconstruction of JPEG-coded images
IEEE Transactions on Circuits and Systems for Video Technology
Optimal Design of Oversampled Synthesis FBs With Lattice Structure Constraints
IEEE Transactions on Signal Processing
Optimal Two-Sided Diagonal Scaling for Filter Bank Frames
IEEE Transactions on Signal Processing
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Time domain oversampled lapped transforms (TDOLTs) with lattice structure can guarantee linear phase and perfect reconstruction and have the advantage of improving coding efficiency and reducing blocking effects which usually exist in DCT transforms. The post-filter is not unique in TDOLTs for a fixed pre-filter. In this paper, we propose a method to design the optimal post-filter for TDOLTs and partial TDOLTs with known noises. We also study the worst-case design of post-filters when the spectrum of noises are unknown. The obtained optimal post-filter is applied to JPEG codec. The performance in reducing the blocking artifacts and effectiveness of the proposed methods are demonstrated by various examples.